{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:09:38Z","timestamp":1765544978118,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Ningbo Natural Science Foundation","award":["2023J281"],"award-info":[{"award-number":["2023J281"]}]},{"name":"Zhejiang Province High-Level Talents Special Support Program Leading Talent of Technological Innovation of Ten-Thousands Talents Program","award":["2022R52046"],"award-info":[{"award-number":["2022R52046"]}]},{"name":"Zhejiang Province JianBingLingYan+X Research and Development Plan","award":["2024C01114"],"award-info":[{"award-number":["2024C01114"]}]},{"name":"the Joint Funds of the Zhejiang Provincial Natural Science Foundation of China","award":["LHZSD24F020001"],"award-info":[{"award-number":["LHZSD24F020001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679602","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:11Z","timestamp":1729452851000},"page":"3227-3236","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5425-1620","authenticated-orcid":false,"given":"Tianli","family":"Zhang","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1190-9773","authenticated-orcid":false,"given":"Tongya","family":"Zheng","sequence":"additional","affiliation":[{"name":"Hangzhou City University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8600-2687","authenticated-orcid":false,"given":"Zhenbang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0807-6889","authenticated-orcid":false,"given":"Zulong","family":"Chen","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7630-8851","authenticated-orcid":false,"given":"Liangyue","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8640-8434","authenticated-orcid":false,"given":"Zunlei","family":"Feng","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6338-0698","authenticated-orcid":false,"given":"Dongxiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2621-6048","authenticated-orcid":false,"given":"Mingli","family":"Song","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Blockchain and Data Security, Zhejiang University & Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Jinze Bai Shuai Bai Yunfei Chu Zeyu Cui Kai Dang Xiaodong Deng Yang Fan Wenbin Ge Yu Han Fei Huang et al. 2023. Qwen technical report. arXiv preprint arXiv:2309.16609 (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Harvard Dataverse","volume":"12","author":"Boschee Elizabeth","year":"2015","unstructured":"Elizabeth Boschee, Jennifer Lautenschlager, Sean O'Brien, Steve Shellman, James Starz, and Michael Ward. 2015. ICEWS coded event data. Harvard Dataverse, Vol. 12 (2015)."},{"key":"e_1_3_2_1_3_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108218"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_1_6_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_7_1","volume-title":"Learning sequence encoders for temporal knowledge graph completion. arXiv preprint arXiv:1809.03202","author":"Garcia-Duran Alberto","year":"2018","unstructured":"Alberto Garcia-Duran, Sebastijan Dumancic, and Mathias Niepert. 2018. Learning sequence encoders for temporal knowledge graph completion. arXiv preprint arXiv:1809.03202 (2018)."},{"key":"e_1_3_2_1_8_1","volume-title":"International Conference on Learning Representations.","author":"Han Zhen","year":"2020","unstructured":"Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2020. Explainable subgraph reasoning for forecasting on temporal knowledge graphs. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_9_1","volume-title":"Temporal knowledge graph forecasting with neural ode. arXiv preprint arXiv:2101.05151","author":"Han Zhen","year":"2021","unstructured":"Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, and Volker Tresp. 2021. Temporal knowledge graph forecasting with neural ode. arXiv preprint arXiv:2101.05151 (2021)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Prachi Jain Sushant Rathi Soumen Chakrabarti et al. 2020. Temporal knowledge base completion: New algorithms and evaluation protocols. arXiv preprint arXiv:2005.05035 (2020).","DOI":"10.18653\/v1\/2020.emnlp-main.305"},{"key":"e_1_3_2_1_11_1","volume-title":"A survey on knowledge graphs: Representation, acquisition, and applications","author":"Ji Shaoxiong","year":"2021","unstructured":"Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip. 2021. A survey on knowledge graphs: Representation, acquisition, and applications. IEEE transactions on neural networks and learning systems, Vol. 33, 2 (2021), 494--514."},{"key":"e_1_3_2_1_12_1","volume-title":"Recurrent event network: Autoregressive structure inference over temporal knowledge graphs. arXiv preprint arXiv:1904.05530","author":"Jin Woojeong","year":"2019","unstructured":"Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren. 2019. Recurrent event network: Autoregressive structure inference over temporal knowledge graphs. arXiv preprint arXiv:1904.05530 (2019)."},{"key":"e_1_3_2_1_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191639"},{"key":"e_1_3_2_1_15_1","volume-title":"Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. arXiv preprint arXiv:2305.10613","author":"Lee Dong-Ho","year":"2023","unstructured":"Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, and Jay Pujara. 2023. Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. arXiv preprint arXiv:2305.10613 (2023)."},{"key":"e_1_3_2_1_16_1","volume-title":"Gdelt: Global data on events, location, and tone","author":"Leetaru Kalev","year":"2013","unstructured":"Kalev Leetaru and Philip A Schrodt. 2013. Gdelt: Global data on events, location, and tone, 1979--2012. In ISA annual convention, Vol. 2. Citeseer, 1--49."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/299"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462963"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00138"},{"key":"e_1_3_2_1_20_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403373"},{"key":"e_1_3_2_1_22_1","unstructured":"Farzaneh Mahdisoltani Joanna Biega and Fabian M Suchanek. 2013. Yago3: A knowledge base from multilingual wikipedias. In CIDR."},{"key":"e_1_3_2_1_23_1","volume-title":"Sequence-to-sequence knowledge graph completion and question answering. arXiv preprint arXiv:2203.10321","author":"Saxena Apoorv","year":"2022","unstructured":"Apoorv Saxena, Adrian Kochsiek, and Rainer Gemulla. 2022. Sequence-to-sequence knowledge graph completion and question answering. arXiv preprint arXiv:2203.10321 (2022)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0_33"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013060"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11535"},{"key":"e_1_3_2_1_27_1","volume-title":"Timetraveler: Reinforcement learning for temporal knowledge graph forecasting. arXiv preprint arXiv:2109.04101","author":"Sun Haohai","year":"2021","unstructured":"Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, and Kun He. 2021. Timetraveler: Reinforcement learning for temporal knowledge graph forecasting. arXiv preprint arXiv:2109.04101 (2021)."},{"key":"e_1_3_2_1_28_1","volume-title":"Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197 (2019)."},{"key":"e_1_3_2_1_29_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothee Lacroix, Baptiste Roziere, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_1_30_1","volume-title":"international conference on machine learning. PMLR, 3462--3471","author":"Trivedi Rakshit","year":"2017","unstructured":"Rakshit Trivedi, Hanjun Dai, Yichen Wang, and Le Song. 2017. Know-evolve: Deep temporal reasoning for dynamic knowledge graphs. In international conference on machine learning. PMLR, 3462--3471."},{"key":"e_1_3_2_1_31_1","volume-title":"International conference on machine learning. PMLR","author":"Trouillon Theo","year":"2016","unstructured":"Theo Trouillon, Johannes Welbl, Sebastian Riedel, Eric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International conference on machine learning. PMLR, 2071--2080."},{"key":"e_1_3_2_1_32_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_33_1","unstructured":"Jiapu Wang Boyue Wang Meikang Qiu Shirui Pan Bo Xiong Heng Liu Linhao Luo Tengfei Liu Yongli Hu Baocai Yin et al. 2023. A Survey on Temporal Knowledge Graph Completion: Taxonomy Progress and Prospects. arXiv preprint arXiv:2308.02457 (2023)."},{"volume-title":"Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Xu Wenjie","key":"e_1_3_2_1_34_1","unstructured":"Wenjie Xu, Ben Liu, Miao Peng, Xu Jia, and Min Peng. 2023. Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion. In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25601"},{"key":"e_1_3_2_1_36_1","volume-title":"Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575","author":"Yang Bishan","year":"2014","unstructured":"Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014)."},{"key":"e_1_3_2_1_37_1","first-page":"28798","article-title":"GraphFormers: GNN-nested transformers for representation learning on textual graph","volume":"34","author":"Yang Junhan","year":"2021","unstructured":"Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, and Xing Xie. 2021. GraphFormers: GNN-nested transformers for representation learning on textual graph. Advances in Neural Information Processing Systems, Vol. 34 (2021), 28798--28810.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_38_1","volume-title":"KG-BERT: BERT for knowledge graph completion. arXiv preprint arXiv:1909.03193","author":"Yao Liang","year":"2019","unstructured":"Liang Yao, Chengsheng Mao, and Yuan Luo. 2019. KG-BERT: BERT for knowledge graph completion. arXiv preprint arXiv:1909.03193 (2019)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583242"},{"key":"e_1_3_2_1_40_1","volume-title":"Greaselm: Graph reasoning enhanced language models for question answering. arXiv preprint arXiv:2201.08860","author":"Zhang Xikun","year":"2022","unstructured":"Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning, and Jure Leskovec. 2022. Greaselm: Graph reasoning enhanced language models for question answering. arXiv preprint arXiv:2201.08860 (2022)."},{"key":"e_1_3_2_1_41_1","unstructured":"Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu Yonghao Zhuang Zi Lin Zhuohan Li Dacheng Li Eric. P Xing Hao Zhang Joseph E. Gonzalez and Ion Stoica. 2023. Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. arxiv: 2306.05685 [cs.CL]"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICKG52313.2021.00059"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3220548"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3265271"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16604"}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Boise ID USA","acronym":"CIKM '24"},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679602","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679602","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:23Z","timestamp":1750294703000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679602"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":45,"alternative-id":["10.1145\/3627673.3679602","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679602","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}